This project is a comprehensive tool for analyzing SEO, cloaking, and affiliate marketing data of a given URL. It collects information on backlinks, scripts, meta tags, technologies used, IP details, and more. The tool uses various libraries and APIs to perform in-depth analysis and presents the results in a well-organized format using the Rich library.

• Backlinks Analysis: Collects and displays all backlinks found on the page.
• Script Analysis: Identifies and displays internal and external scripts.
• Meta Tags: Extracts and shows meta tags, including refresh tags.
• Obfuscated URLs: Finds and displays obfuscated URLs in scripts.
• Affiliate Information: Extracts affiliate IDs from the URL.
• Domain Information: Provides WHOIS and DNS details of the domain.
• Technologies Used: Lists technologies used on the site via BuiltWith.
• Google Backlinks: Performs Google search for additional backlinks.
• Shodan Integration: Searches for exposed devices related to the domain.
• IP Information: Detailed IP information using IPWhois.
• Port Scanning: Scans for open ports using nmap.
• Traffic Data: Fetches traffic data using SimilarWeb API.

Ensure all the following Python packages are installed:

beautifulsoup4
builtwith
dnspython
google
ipwhois
nmap
python-dotenv
python-whois
requests
rich
shodan
similarweb
socket
tldextract

You can install all dependencies using the requirements.txt file:

pip install -r requirements.txt

1. Set Up Environment Variables:

   • Create a .env file in the project root.
   • Add the competing affiliate URL.
   • Add your API keys for Shodan and SimilarWeb.

   URL=your_competitor_url
   SHODAN_API_KEY=your_shodan_api_key
   SIMILARWEB_API_KEY=your_similarweb_api_key

2. Run the Script:

   • Execute the Python script:

     python search-seo-cloaking-affiliate.py

3. View the Results:

   • The script will output the analysis results in the console, organized using the Rich library for better readability.

You can find the repository at github.com/Takk8IS/search-seo-cloaking-affiliate.git

If you need help with this project, please contact via email at [email protected].

If this script has been helpful for you, consider making a donation to support our work:

• $USDT (TRC-20): TGpiWetnYK2VQpxNGPR27D9vfM6Mei5vNA

Your donations help us continue developing useful and innovative tools.

Leading the Digital Revolution as the Pioneering 100% Artificial Intelligence Team.

• Copyright (c)
• Licence: Attribution 4.0 International (CC BY 4.0)
• Author: David C Cavalcante
• LinkedIn: https://www.linkedin.com/in/hellodav/
• Medium: https://medium.com/@davcavalcante/
• Positive results, rapid innovation
• URL: https://takk.ag/
• X: https://twitter.com/takk8is/
• Medium: https://takk8is.medium.com/